Showing 1,721 - 1,740 results of 1,918 for search '(( significantly small decrease ) OR ( significantly ((longer decrease) OR (largest decrease)) ))', query time: 0.33s Refine Results
  1. 1721

    Table 1_A two-sample bidirectional Mendelian randomization analysis between telomere length and hyperthyroidism.xlsx by Shiben Zhu (19159465)

    Published 2025
    “…</p>Conclusion<p>The finding that longer telomeres reduce hyperthyroidism risk highlights the need to validate hyperthyroidism’s impact on telomere length, offering valuable insights for prevention and treatment.…”
  2. 1722

    Data Sheet 1_Global burden and trend of stroke attributable to metabolic risks among young adults (20–39 years old) from 1990 to 2021.docx by Qingguo Liu (9620123)

    Published 2025
    “…From 1990 to 2021, the absolute number of stroke-related DALYs attributable to metabolic-risks increased by 22.23%, while the ASDR decreased by 0.78% annually. Regional disparities were evident, with East Asia reporting the largest number of stroke-DALYs attributable to metabolic-risks and Southeast Asia exhibiting the highest ASDR. …”
  3. 1723

    Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  4. 1724

    Space-to-depth convolution. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  5. 1725

    Data augmentation. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  6. 1726

    Side angle tea picking. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  7. 1727

    Comparison results of ablation experiments. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  8. 1728

    Table of dataset division. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  9. 1729

    Striking image. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  10. 1730

    Precision, recall, F1-Score curve. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  11. 1731

    Model comparison experimental results. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  12. 1732

    Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  13. 1733

    Improved YOLOv10 network structure. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  14. 1734

    Loss function variation curve. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  15. 1735

    Sex and tissue-specificity of piRNA regulation in adult mice following perinatal lead (Pb) exposure by Bambarendage P. U. Perera (20190175)

    Published 2024
    “…Piwi-interacting RNAs (piRNAs) are small non-coding RNAs that associate with PIWIL proteins to induce DNA methylation. …”
  16. 1736

    Different model detection results comparison. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  17. 1737

    Inner-IoU. by Chunhua Yang (346871)

    Published 2025
    “…The slice-assisted super-reasoning algorithm is integrated to improve the recognition ability of YOLOv10 network for long-distance and small-target tea. The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. …”
  18. 1738

    Image 1_Sepsis in Internal Medicine: blood culture-based subtypes, hospital outcomes, and predictive biomarkers.tiff by Gaetano Zizzo (15853004)

    Published 2025
    “…Median length of stay (LOS) was 14 days, and mean ward-to-intensive care unit (ICU) transfer and in-hospital mortality rates were 11 and 26%, respectively; significant differences were observed over the years, with LOS peaks preceding mortality peaks by 1 year. …”
  19. 1739

    Data Sheet 1_The effect of mepolizumab dosage form on treatment outcomes in severe asthma.pdf by Martina Vetchá (21143222)

    Published 2025
    “…</p>Results<p>Three months after initiation of administration, all methods showed improvement compared to the values at the beginning of treatment, with ER decreasing from a median of 4 to 0. Similarly, the median OCS decreased from 5 mg to 0 mg across all methods throughout the treatment. …”
  20. 1740

    Image 2_Sepsis in Internal Medicine: blood culture-based subtypes, hospital outcomes, and predictive biomarkers.tiff by Gaetano Zizzo (15853004)

    Published 2025
    “…Median length of stay (LOS) was 14 days, and mean ward-to-intensive care unit (ICU) transfer and in-hospital mortality rates were 11 and 26%, respectively; significant differences were observed over the years, with LOS peaks preceding mortality peaks by 1 year. …”